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基于 Landsat 观测的水质透明度,松花江流域自 2005 年以来水质不断改善。

Songhua River basin's improving water quality since 2005 based on Landsat observation of water clarity.

机构信息

Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China; University of Chinese Academy of Sciences, Beijing, 100049, China.

Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China; University School of Environment and Planning, Liaocheng University, Liaocheng, 252000, China.

出版信息

Environ Res. 2021 Aug;199:111299. doi: 10.1016/j.envres.2021.111299. Epub 2021 May 11.

Abstract

Water clarity, denoted by the Secchi disk depth (SDD), is one of the most important indicators for monitoring water quality. In the Songhua River basin (SHRB), few studies have used Landsat to monitor long-term (3-4 decades) changes in lake SDD and explore the impact of natural and human factors on SDD interannual variation at the watershed scale. Lakes in the SHRB are of great significance to local populations. Understanding the spatiotemporal dynamics of SDD could help policymakers manage, protect, and predict lake water quality. We utilized the Landsat red/blue band ratio in the Google Earth Engine to estimate the SDD of 77 lakes and generated annual mean SDD maps from 1990 to 2018. The results of the SDD interannual changes showed that the water quality in the SHRB has improved since 2005. Specifically, the SDD in the SHRB displayed a significant increasing trend (p < 0.05) from 0.29 m in 2005 to 0.37 m in 2018. Moreover, the number of lakes displaying a significant increasing trend for SDD increased from 18 between 1990 and 2005 to 31 between 2005 and 2018. We also found that use of chemical fertilizer significantly impacted lakes, followed by wastewater discharge and normalized difference vegetation index. Improvements in the quantity and ability of wastewater discharge treatment and increased vegetation cover have alleviated water pollution; however, the non-point pollution of agriculture still poses a threat to some lakes in the SHRB. Therefore, more efforts should be made to further improve the aquatic ecological environment of SHRBs.

摘要

水的清澈度,用塞奇盘深度(Secchi disk depth,SDD)来表示,是监测水质的最重要指标之一。在松花江流域(Songhua River basin,SHRB),很少有研究使用 Landsat 监测湖泊 SDD 的长期(3-4 十年)变化,并探索自然和人为因素对流域尺度上 SDD 年际变化的影响。流域内的湖泊对当地居民具有重要意义。了解 SDD 的时空动态有助于决策者管理、保护和预测湖泊水质。我们利用 Google Earth Engine 中的 Landsat 红/蓝波段比来估算 77 个湖泊的 SDD,并生成了 1990 年至 2018 年的年平均 SDD 图。SDD 年际变化的结果表明,自 2005 年以来,SHRB 的水质有所改善。具体而言,SHRB 的 SDD 从 2005 年的 0.29 米显著增加到 2018 年的 0.37 米(p<0.05)。此外,2005 年至 2018 年期间,SDD 呈显著增加趋势的湖泊数量从 1990 年至 2005 年的 18 个增加到 31 个。我们还发现,化肥的使用对湖泊有显著影响,其次是污水排放和归一化植被指数。污水排放处理能力和植被覆盖的增加改善了水污染;然而,农业的面源污染仍然对 SHRB 的一些湖泊构成威胁。因此,应该做出更多努力来进一步改善 SHRB 的水生态环境。

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